Survival in today's marketplace demands professionals who combine a passion for innovation with the ability to analyze and interpret large volumes of data.

But few managers possess the technical training to successfully guide their organization into a digital era where artificial intelligence, deep learning and predictive analytics are as important as business knowledge. That leaves those leaders unable to capitalize on the limitless opportunities that competitors are using to refine products, services and strategies.

The Business Intelligence & Analytics master's program provides a blend of analytical and professional skills to move managers from the traditional mode of intuition-based decision-making to fact-based decision-making.

“Companies are looking for people who can use analytics to interpret the data, but they also need business acumen — and in this program, they get both.”

Rochelle Lostumbo, business unit executive, IBM

The curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization and risk analytics. Classes explore key business concepts while going beyond basics in R, SAS, Hadoop, Python and Sparc. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor. 

Admission requirements Curriculum Overview Hanlon Center Student ProjectsProgram architecture

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Going beyond the data

The Business Intelligence & Analytics program emphasizes the application of Big Data to business problems, ensuring graduates can build actionable strategies based on the numbers.

Big Data, bigger opportunity

Business Intelligence & Analytics faculty

Business Intelligence & Analytics by the numbers

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